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Jiang Liu
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Polyformer: Referring image segmentation as sequential polygon generation
J Liu, H Ding, Z Cai, Y Zhang, RK Satzoda, V Mahadevan, R Manmatha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
522023
Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection
J Liu, A Levine, CP Lau, R Chellappa, S Feizi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
522022
Left atrial appendage segmentation using fully convolutional neural networks and modified three-dimensional conditional random fields
C Jin, J Feng, L Wang, H Yu, J Liu, J Lu, J Zhou
IEEE journal of biomedical and health informatics 22 (6), 1906-1916, 2018
472018
One model to synthesize them all: Multi-contrast multi-scale transformer for missing data imputation
J Liu, S Pasumarthi, B Duffy, E Gong, K Datta, G Zaharchuk
IEEE Transactions on Medical Imaging, 2023
342023
Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information
C Jin, J Feng, L Wang, H Yu, J Liu, J Lu, J Zhou
Computers in biology and medicine 96, 52-68, 2018
232018
A vessel-focused 3D convolutional network for automatic segmentation and classification of coronary artery plaques in cardiac CTA
J Liu, C Jin, J Feng, Y Du, J Lu, J Zhou
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
212019
Mutual adversarial training: Learning together is better than going alone
J Liu, CP Lau, H Souri, S Feizi, R Chellappa
IEEE Transactions on Information Forensics and Security 17, 2364-2377, 2022
172022
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI
E Gong, J Guo, J Liu, A Fan, J Pauly, G Zaharchuk
Medical Imaging 2020: Image Processing 11313, 119-126, 2020
152020
Diffprotect: Generate adversarial examples with diffusion models for facial privacy protection
J Liu, CP Lau, R Chellappa
arXiv preprint arXiv:2305.13625, 2023
92023
Label super resolution for 3d magnetic resonance images using deformable u-net
D Liu, J Liu, Y Liu, R Tao, JL Prince, A Carass
Medical Imaging 2021: Image Processing 11596, 606-611, 2021
92021
Interpolated joint space adversarial training for robust and generalizable defenses
CP Lau, J Liu, H Souri, WA Lin, S Feizi, R Chellappa
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
72023
Adversarial attacks and robust defenses in deep learning
CP Lau, J Liu, WA Lin, H Souri, P Khorramshahi, R Chellappa
Handbook of Statistics 48, 29-58, 2023
42023
Contrast-free MRI contrast enhancement with deep attention generative adversarial network
J Liu, E Gong, T Christen, G Zaharchuk
International Society for Magnetic Resonance in Medicine 27th Annual Meeting …, 2019
32019
Attribute-guided encryption with facial texture masking
CP Lau, J Liu, R Chellappa
arXiv preprint arXiv:2305.13548, 2023
22023
GetNet: Get target area for image pairing
HY Henry, J Liu, H Sun, Z Wang, H Zhang
2019 International Conference on Image and Vision Computing New Zealand …, 2019
22019
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
J Liu, C Wei, Y Guo, H Yu, A Yuille, S Feizi, CP Lau, R Chellappa
arXiv preprint arXiv:2311.15551, 2023
12023
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics
A Roy, M Suin, A Shah, K Shah, J Liu, R Chellappa
arXiv preprint arXiv:2311.09753, 2023
12023
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation
Y Guo, A Shah, J Liu, R Chellappa, C Peng
arXiv preprint arXiv:2311.16497, 2023
2023
Enhance One-minute EPIMix Brain MRI Exams with Unsupervised Cycle-Consistent Generative Adversarial Network
J Liu, E Gong, S Skare, G Zaharchuk
International Society for Magnetic Resonance in Medicine 27th Annual Meeting, 0
Multi-contrast Multi-scale vision Transformers (MMT) for MRI Contrast Synthesis
J Liu, SP Venkata, K Datta
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 0
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Articles 1–20